/* 
 * PROJECT: NyARToolkitCS
 * --------------------------------------------------------------------------------
 * This work is based on the original ARToolKit developed by
 *   Hirokazu Kato
 *   Mark Billinghurst
 *   HITLab, University of Washington, Seattle
 * http://www.hitl.washington.edu/artoolkit/
 *
 * The NyARToolkitCS is Java edition ARToolKit class library.
 * Copyright (C)2008-2009 Ryo Iizuka
 *
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 * 
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 * 
 * For further information please contact.
 *	http://nyatla.jp/nyatoolkit/
 *	<airmail(at)ebony.plala.or.jp> or <nyatla(at)nyatla.jp>
 * 
 */
using System;
using System.Diagnostics;
namespace jp.nyatla.nyartoolkit.cs.core
{




    /**
     * このクラスは、{@link NyARPca2d_MatrixPCA}を展開して高速化したものです。
     * 演算の内容は、{@link NyARPca2d_MatrixPCA}と同一です。
     */
    public class NyARPca2d_MatrixPCA_O2 : INyARPca2d
    {
        private const double PCA_EPS = 1e-6; // #define EPS 1e-6

        private const int PCA_MAX_ITER = 100; // #define MAX_ITER 100

        private const double PCA_VZERO = 1e-16; // #define VZERO 1e-16

        /**
         * static int QRM( ARMat *a, ARVec *dv )の代替関数
         * 
         * @param a
         * @param dv
         * @
         */
        private static void PCA_QRM(NyARDoubleMatrix22 o_matrix, double[] dv)
        {
            double w, t, s, x, y, c;
            double ev1;
            double dv_x, dv_y;
            double mat00, mat01, mat10, mat11;
            // <this.vecTridiagonalize2d(i_mat, dv, ev);>
            dv_x = o_matrix.m00;// this.m[dim - 2][dim - 2];// d.v[dim-2]=a.m[dim-2][dim-2];//d->v[dim-2]=a->m[(dim-2)*dim+(dim-2)];
            ev1 = o_matrix.m01;// this.m[dim - 2][dim - 1];// e.v[dim-2+i_e_start]=a.m[dim-2][dim-1];//e->v[dim-2] = a->m[(dim-2)*dim+(dim-1)];
            dv_y = o_matrix.m11;// this.m[dim - 1][dim - 1];// d.v[dim-1]=a_array[dim-1][dim-1];//d->v[dim-1] =a->m[(dim-1)*dim+(dim-1)];
            // 単位行列にする。
            mat00 = mat11 = 1;
            mat01 = mat10 = 0;
            // </this.vecTridiagonalize2d(i_mat, dv, ev);>

            // int j = 1;
            // // while(j>0 && fabs(ev->v[j])>EPS*(fabs(dv->v[j-1])+fabs(dv->v[j])))
            // while (j > 0 && Math.abs(ev1) > PCA_EPS * (Math.abs(dv.x) + Math.abs(dv.y))) {
            // j--;
            // }
            // if (j == 0) {
            int iter = 0;
            do
            {
                iter++;
                if (iter > PCA_MAX_ITER)
                {
                    break;
                }
                w = (dv_x - dv_y) / 2;// w = (dv->v[h-1] -dv->v[h]) / 2;//ここ？
                t = ev1 * ev1;// t = ev->v[h] * ev->v[h];
                s = Math.Sqrt(w * w + t);
                if (w < 0)
                {
                    s = -s;
                }
                x = dv_x - dv_y + t / (w + s);// x = dv->v[j] -dv->v[h] +t/(w+s);
                y = ev1;// y = ev->v[j+1];

                if (Math.Abs(x) >= Math.Abs(y))
                {
                    if (Math.Abs(x) > PCA_VZERO)
                    {
                        t = -y / x;
                        c = 1 / Math.Sqrt(t * t + 1);
                        s = t * c;
                    }
                    else
                    {
                        c = 1.0;
                        s = 0.0;
                    }
                }
                else
                {
                    t = -x / y;
                    s = 1.0 / Math.Sqrt(t * t + 1);
                    c = t * s;
                }
                w = dv_x - dv_y;// w = dv->v[k] -dv->v[k+1];
                t = (w * s + 2 * c * ev1) * s;// t = (w * s +2 * c *ev->v[k+1]) *s;
                dv_x -= t;// dv->v[k] -= t;
                dv_y += t;// dv->v[k+1] += t;
                ev1 += s * (c * w - 2 * s * ev1);// ev->v[k+1]+= s * (c* w- 2* s *ev->v[k+1]);

                x = mat00;// x = a->m[k*dim+i];
                y = mat10;// y = a->m[(k+1)*dim+i];
                mat00 = c * x - s * y;// a->m[k*dim+i] = c * x - s* y;
                mat10 = s * x + c * y;// a->m[(k+1)*dim+i] = s* x + c * y;

                x = mat01;// x = a->m[k*dim+i];
                y = mat11;// y = a->m[(k+1)*dim+i];
                mat01 = c * x - s * y;// a->m[k*dim+i] = c * x - s* y;
                mat11 = s * x + c * y;// a->m[(k+1)*dim+i] = s* x + c * y;
            } while (Math.Abs(ev1) > PCA_EPS * (Math.Abs(dv_x) + Math.Abs(dv_y)));
            // }

            t = dv_x;// t = dv->v[h];
            if (dv_y > t)
            {// if( dv->v[i] > t ) {
                t = dv_y;// t = dv->v[h];
                dv_y = dv_x;// dv->v[h] = dv->v[k];
                dv_x = t;// dv->v[k] = t;
                // 行の入れ替え
                o_matrix.m00 = mat10;
                o_matrix.m01 = mat11;
                o_matrix.m10 = mat00;
                o_matrix.m11 = mat01;

            }
            else
            {
                // 行の入れ替えはなし
                o_matrix.m00 = mat00;
                o_matrix.m01 = mat01;
                o_matrix.m10 = mat10;
                o_matrix.m11 = mat11;
            }
            dv[0] = dv_x;
            dv[1] = dv_y;
            return;
        }

        /**
         * static int PCA( ARMat *input, ARMat *output, ARVec *ev )
         * 
         * @param output
         * @param o_ev
         * @
         */
        private void PCA_PCA(double[] i_v1, double[] i_v2, int i_number_of_data, NyARDoubleMatrix22 o_matrix, double[] o_ev, double[] o_mean)
        {
            // double[] mean_array=mean.getArray();
            // mean.zeroClear();

            //PCA_EXの処理
            double sx = 0;
            double sy = 0;
            for (int i = 0; i < i_number_of_data; i++)
            {
                sx += i_v1[i];
                sy += i_v2[i];
            }
            sx = sx / i_number_of_data;
            sy = sy / i_number_of_data;

            //PCA_CENTERとPCA_xt_by_xを一緒に処理
            double srow = Math.Sqrt((double)i_number_of_data);
            double w00, w11, w10;
            w00 = w11 = w10 = 0.0;// *out = 0.0;
            for (int i = 0; i < i_number_of_data; i++)
            {
                double x = (i_v1[i] - sx) / srow;
                double y = (i_v2[i] - sy) / srow;
                w00 += (x * x);// *out += *in1 * *in2;
                w10 += (x * y);// *out += *in1 * *in2;
                w11 += (y * y);// *out += *in1 * *in2;
            }
            o_matrix.m00 = w00;
            o_matrix.m01 = o_matrix.m10 = w10;
            o_matrix.m11 = w11;

            //PCA_PCAの処理
            PCA_QRM(o_matrix, o_ev);
            // m2 = o_output.m;// m2 = output->m;
            if (o_ev[0] < PCA_VZERO)
            {// if( ev->v[i] < VZERO ){
                o_ev[0] = 0.0;// ev->v[i] = 0.0;
                o_matrix.m00 = 0.0;// *(m2++) = 0.0;
                o_matrix.m01 = 0.0;// *(m2++) = 0.0;
            }

            if (o_ev[1] < PCA_VZERO)
            {// if( ev->v[i] < VZERO ){
                o_ev[1] = 0.0;// ev->v[i] = 0.0;
                o_matrix.m10 = 0.0;// *(m2++) = 0.0;
                o_matrix.m11 = 0.0;// *(m2++) = 0.0;
            }
            o_mean[0] = sx;
            o_mean[1] = sy;
            // }
            return;
        }
        //override
        public void pca(double[] i_v1, double[] i_v2, int i_number_of_point, NyARDoubleMatrix22 o_evec, double[] o_ev, double[] o_mean)
        {
            PCA_PCA(i_v1, i_v2, i_number_of_point, o_evec, o_ev, o_mean);

            double sum = o_ev[0] + o_ev[1];
            // For順変更禁止
            o_ev[0] /= sum;// ev->v[i] /= sum;
            o_ev[1] /= sum;// ev->v[i] /= sum;
            return;
        }

    }
}
